Martin Benoit

2.9k total citations
40 papers, 1.9k citations indexed

About

Martin Benoit is a scholar working on Atomic and Molecular Physics, and Optics, Cell Biology and Surfaces, Coatings and Films. According to data from OpenAlex, Martin Benoit has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 20 papers in Cell Biology and 8 papers in Surfaces, Coatings and Films. Recurrent topics in Martin Benoit's work include Force Microscopy Techniques and Applications (25 papers), Cellular Mechanics and Interactions (17 papers) and Polymer Surface Interaction Studies (8 papers). Martin Benoit is often cited by papers focused on Force Microscopy Techniques and Applications (25 papers), Cellular Mechanics and Interactions (17 papers) and Polymer Surface Interaction Studies (8 papers). Martin Benoit collaborates with scholars based in Germany, United States and Switzerland. Martin Benoit's co-authors include Hermann E. Gaub, Günther Gerisch, Daniela Gabriel, Wolfgang Dettmann, Michel Grandbois, Daniel J. Müller, Mitasha Bharadwaj, Julia Schmitz, Kyle R. Legate and Jens Friedrichs and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Martin Benoit

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin Benoit Germany 22 970 681 585 422 228 40 1.9k
Volkmar Heinrich United States 23 739 0.8× 732 1.1× 1.2k 2.1× 603 1.4× 81 0.4× 53 2.5k
A. Leung Canada 6 1.4k 1.4× 614 0.9× 668 1.1× 406 1.0× 170 0.7× 7 2.0k
Kheya Sengupta France 24 842 0.9× 1.2k 1.7× 1.0k 1.7× 992 2.4× 255 1.1× 63 2.7k
Pierre‐Henri Puech France 23 701 0.7× 1.3k 1.9× 1.2k 2.0× 830 2.0× 139 0.6× 53 2.7k
Clemens M. Franz Germany 31 582 0.6× 1.1k 1.7× 786 1.3× 1.1k 2.7× 160 0.7× 68 3.0k
Helim Aranda‐Espinoza United States 26 264 0.3× 704 1.0× 835 1.4× 522 1.2× 95 0.4× 52 2.1k
Robert M. Hochmuth United States 16 575 0.6× 1.2k 1.7× 527 0.9× 914 2.2× 89 0.4× 23 2.3k
Anna Taubenberger Germany 31 417 0.4× 1.3k 1.9× 981 1.7× 1.2k 2.8× 119 0.5× 55 3.1k
Joachim P. Spatz Germany 29 242 0.2× 350 0.5× 722 1.2× 855 2.0× 267 1.2× 56 2.4k
Scot C. Kuo United States 20 761 0.8× 1.2k 1.8× 742 1.3× 842 2.0× 106 0.5× 35 2.7k

Countries citing papers authored by Martin Benoit

Since Specialization
Citations

This map shows the geographic impact of Martin Benoit's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Benoit more than expected).

Fields of papers citing papers by Martin Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Benoit. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Benoit. The network helps show where Martin Benoit may publish in the future.

Co-authorship network of co-authors of Martin Benoit

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Benoit. A scholar is included among the top collaborators of Martin Benoit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Benoit. Martin Benoit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Benoit, Martin, et al.. (2024). Nuclear deformation and dynamics of migrating cells in 3D confinement reveal adaptation of pulling and pushing forces. Science Advances. 10(34). eadm9195–eadm9195. 9 indexed citations
2.
Docheva, Denitsa, et al.. (2020). Inadequate tissue mineralization promotes cancer cell attachment. PLoS ONE. 15(8). e0237116–e0237116. 2 indexed citations
3.
Löf, Achim, Steffen M. Sedlak, Tobias Obser, et al.. (2019). Multiplexed protein force spectroscopy reveals equilibrium protein folding dynamics and the low-force response of von Willebrand factor. Proceedings of the National Academy of Sciences. 116(38). 18798–18807. 65 indexed citations
4.
Löf, Achim, Sonja Schneppenheim, Reinhard Schneppenheim, et al.. (2019). Advancing multimer analysis of von Willebrand factor by single-molecule AFM imaging. PLoS ONE. 14(1). e0210963–e0210963. 4 indexed citations
5.
Löf, Achim, Tobias Obser, Diana A. Pippig, et al.. (2016). Force Sensing by the Vascular Protein Von Willebrand Factor is Tuned by a Strong Intermonomer Interaction. Biophysical Journal. 110(3). 27a–27a. 1 indexed citations
6.
Löf, Achim, Tobias Obser, Willem Vanderlinden, et al.. (2016). pH-Dependent Interactions in Dimers Govern the Mechanics and Structure of von Willebrand Factor. Biophysical Journal. 111(2). 312–322. 16 indexed citations
7.
Löf, Achim, et al.. (2016). Biophysical approaches promote advances in the understanding of von Willebrand factor processing and function. Advances in Biological Regulation. 63. 81–91. 14 indexed citations
8.
Docheva, Denitsa, Daniela Padula, Cvetan Popov, et al.. (2013). Correction: Probing the Interaction Forces of Prostate Cancer Cells with Collagen I and Bone Marrow Derived Stem Cells on the Single Cell Level. PLoS ONE. 8(10). 6 indexed citations
9.
Haritoglou, Christos, et al.. (2013). Increase in lens capsule stiffness caused by vital dyes. Journal of Cataract & Refractive Surgery. 39(11). 1749–1752. 15 indexed citations
10.
Docheva, Denitsa, Daniela Padula, Cvetan Popov, et al.. (2013). Probing the Interaction Forces of Prostate Cancer Cells with Collagen I and Bone Marrow Derived Stem Cells on the Single Cell Level. PLoS ONE. 8(3). e57706–e57706. 22 indexed citations
11.
Haritoglou, Christos, Martin Benoit, Ricarda G. Schumann, et al.. (2013). Vital dyes increase the rigidity of the internal limiting membrane. Eye. 27(11). 1308–1315. 15 indexed citations
12.
Benoit, Martin & Christine Selhuber‐Unkel. (2011). Measuring Cell Adhesion Forces: Theory and Principles. Methods in molecular biology. 736. 355–377. 22 indexed citations
13.
Schmitz, Julia, Martin Benoit, & Kay‐Eberhard Gottschalk. (2008). The Viscoelasticity of Membrane Tethers and Its Importance for Cell Adhesion. Biophysical Journal. 95(3). 1448–1459. 52 indexed citations
14.
George, Michael, et al.. (2007). Planar patch-clamp force microscopy on living cells. Ultramicroscopy. 108(6). 552–557. 24 indexed citations
15.
Schedin, Staffan, et al.. (2007). Dynamic restacking of Escherichia Coli P-pili. European Biophysics Journal. 37(2). 111–120. 34 indexed citations
16.
Hugel, Thorsten, et al.. (2005). Phase contrast and DIC illumination for AFM hybrids. Ultramicroscopy. 104(3-4). 255–260. 9 indexed citations
17.
Eibl, Robert H. & Martin Benoit. (2004). Molecular resolution of cell adhesion forces. PubMed. 151(3). 128–128. 12 indexed citations
18.
Benoit, Martin. (2002). Cell Adhesion Measured by Force Spectroscopy on Living Cells. Methods in cell biology. 68. 91–114. 22 indexed citations
19.
Benoit, Martin & Hermann E. Gaub. (2002). Measuring Cell Adhesion Forces with the Atomic Force Microscope at the Molecular Level. Cells Tissues Organs. 172(3). 174–189. 118 indexed citations
20.
Thie, Michael, Wolfgang Dettmann, Martin Benoit, et al.. (1998). Interactions between trophoblast and uterine epithelium: monitoring of adhesive forces. Human Reproduction. 13(11). 3211–3219. 96 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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